What Is AI Observability and Why It Matters for Safe Adoption

Safe GenAI adoption starts with AI observability. Understand AI model observability and how AI powered observability improves compliance and ROI.

AI Risk Assessment - Strategies, Frameworks & Tools

Learn what an artificial intelligence risk assessment is and why it matters for safe GenAI adoption. Reduce risks, safeguard trust, and enable innovation.

AI Risk Assessment Toolkit: How Mid-Sized Teams Can Deploy GenAI Responsibly

A practical AI risk toolkit for mid-sized teams deploying GenAI, designed to streamline assessments and support audit-ready practices.

What Shadow AI Looks Like Inside Collaboration Tools and Why It’s Riskier Than You Think

Shadow AI creates invisible data leaks in collaboration tools like Teams and Slack. Learn how to detect prompt-based risk before it leaves the browser.

Shadow AI Detection via Behavioral and Network Telemetry: What Signals Security Teams Are Missing

Detect shadow AI with MagicMirror using network telemetry and behavioral signals. Manage AI risks, protect data privacy, and ensure compliance effortlessly.

From Policy to Practice: AI Governance Frameworks That Work

Explore the top AI governance frameworks and discover how orgs can operationalize them for real-world compliance, oversight, and ethical AI use.

AI Governance: Principles That Enable Responsible AI Deployment

Discover the key principles behind responsible AI governance and how to implement them in real-world deployments without risking compliance or trust.

Why Most AI Governance Platforms Fail and What to Do About It

Most AI governance tools fail because they can't see how AI is really used. Learn how to close the gap between policy, workflows, and real-time oversight.

Why the Model Validation Team Should Be Part of AI Governance

Explore how model validation strengthens AI governance. Mitigate risk, enforce policy, and improve accountability with the right structure.

Why AI Committees Fail Without Real Usage Visibility

Discover why AI committees struggle without real-time usage visibility and how it impacts AI governance, compliance, and productivity.

Customizable AI Policy Builder by MagicMirror

MagicMirror’s new Policy Engine brings department-level GenAI controls—tailor safeguards by role, enforce instantly, and never lose on-device privacy.

New in MagicMirror: File Scanning and Perplexity AI Support

Discover what’s new in MagicMirror—from file upload scanning and Perplexity AI support to enhanced GenAI usage analytics. See how we’re expanding observability and local safeguards to help IT and legal teams manage GenAI more confidently

GenAI Adoption Gaps & Governance Risks

Many companies are giving teams ChatGPT, yet see little payoff. This post explains the main roadblocks and outlines five clear steps for achieving real GenAI results, which starts with observability.

MagicMirror Now Supports ChatGPT Identity and User Messaging

Another release, another leap forward in securing your data at the source. Today, we’re rolling out features that go beyond traditional visibility to give security teams what they really need: clear answers about who’s using GenAI, how they’re using it, and whether that use puts sensitive data at risk.

MagicMirror Onboards David Baker as Strategic Advisor

MagicMirror and CoSAI Collaborate to Advance AI Security

MagicMirror Joins AWS & CrowdStrike Cybersecurity Accelerator

How to Craft a GenAI Policy That Works

MagicMirror GenAI Market Updates: Is Your Business Ready?

Why You Need a GenAI Policy in 2025

MagicMirror Supports DeepSeek to Advance Safe AI Adoption

MagicMirror: DeepSeek Breach Highlights AI Security Gaps

The New Meaning of PII

What is Red Teaming for AI Security

Cracking Open the Black Box: How Researchers Extracted Sensitive Data from AI Language Models

Preventing Sensitive Data Leaks in LLMs

How Demographics Expose Personal Identity

Hackers Can Read Encrypted AI Assistant Chats

Boost Your Productivity with GenAI

“Enterprise-Only GenAI” Isn’t Stopping Shadow AI — Here’s Why

Across industries, leaders are reacting to generative AI risks in a predictable way: ban public tools, buy an enterprise plan, and tell everyone to use only that. “Only ChatGPT Enterprise.” “Only Gemini for Workspace.” “Only Copilot.” It’s a rational instinct. It’s also not sufficient. Shadow AI doesn’t disappear when you lock tools down — it moves, mutates, and becomes harder to see. For security, compliance, and adoption, that’s the worst possible outcome. At MagicMirror, we work with organizations trying to secure GenAI without slowing people down. Here’s what we’re seeing in the real world, and why “enterprise-only” policies need a stronger second act.

Invisible AI Agents: Why Observability Comes Before Access Control

A finance team discovered a shadow AI agent pulling sensitive data, without alerts. Learn how observability helped them regain control before a breach occurred.

Shadow AI in Legal & Contract Drafting: Risks of Precedent Leakage and Regulatory Exposure

Explore the dangers of Shadow AI in legal departments and contract drafting, and discover practical strategies for compliance and governance.

NIST vs EU AI Act: Which AI Risk Framework Should You Follow?

Compare the EU AI Act and the NIST AI Risk Management Framework. Explore rules, penalties, and risk models to shape safe AI adoption.

AI Transparency Framework: Complete Guide

Build an AI transparency framework aligned with ethical standards. Know practical steps and compliance strategies for transparent AI across your enterprise

Why AI Auditing Is Important for AI Governance and Compliance

Learn why AI auditing is critical for businesses, enhancing compliance, audit efficiency, and transparency with frameworks and real-world examples.

The State of Enterprise AI in 2025: 17 Adoption, Risk, and Governance Insights Every Leader Should Know

Explore key insights on enterprise AI adoption, risks, and governance in 2025, highlighting challenges, AI usage trends, and strategies for responsible implementation.

What Effective AI Councils Look Like in Practice

Discover what a corporate AI council does, how it’s structured, and real-world examples to guide your organization’s AI oversight journey.

AI Committees & Board Oversight: What Directors Need to Know

A board-ready guide to structuring AI committees, setting governance charters, and driving enterprise-wide accountability for AI use.

Build AI Governance That Works: 10 Steps to Accountability

Explore how to build AI governance across industries with a clear structure, risk management, and transparency to ensure compliance and trust in every initiative.

Hidden AI Governance Errors Every Enterprise Faces

Uncover overlooked AI Governance mistakes and implement proactive oversight strategies to stay compliant, secure, and bias-free.

By September 28, Claude Will Start Training on Your Data by Default. Are You Ready?

Claude will train on user data by default starting Sept 28. MagicMirror gives you visibility and control before data leaves the browser.

Your AI Strategy Starts with Visibility into AI Usage

Learn why successful AI strategies begin with AI usage. Discover how prompt-level visibility empowers IT and security teams to implement responsible AI governance without blocking innovation.

Now Available: Prevent Prompt Injection and Gemini Jailbreak Attacks in Gmail with MagicMirror

Prompt injection vulnerabilities in Gemini’s Gmail summarizer expose users to hidden threats. MagicMirror gives teams control where Google does not.